McCrea, Rachel S. and Morgan, Byron J. T. (2011) Multistate mark-recapture model selection using score tests. Biometrics, 67 (1). pp. 234-241. ISSN 0006-341X. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)
Although multistate mark-recapture models are recognized as important, they lack a simple model-selection procedure. This article proposes and evaluates a step-up approach to select appropriate models for multistate mark-recapture data using score tests. Only models supported by the data require fitting, so that over-complicated model structures with too many parameters do not need to be considered. Typically only a small number of models are fitted, and the procedure is also able to identify parameter-redundant and near-redundant models. The good performance of the technique is demonstrated using simulation, and the approach is illustrated on a three-region Canada goose data set. In this case, it identifies a new model that is much simpler than the best model previously considered for this application.
|Subjects:||Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics|
|Depositing User:||Rachel McCrea|
|Date Deposited:||29 Jun 2011 16:41|
|Last Modified:||30 May 2014 13:56|
|Resource URI:||https://kar.kent.ac.uk/id/eprint/27602 (The current URI for this page, for reference purposes)|